Proceedings of the 2005 International Conference on Machine Learning and Cybernetics : August 18-21, 2005, Guangzhou, China, p. 4881-4885 How to cite?

Abstract:

This paper presents a novel approach for palmprint recognition based on the valley features. This approach uses the bothat operation to extract the valleys from a very low-resolution palm image in different directions to form the valley feature, and then define a matching score to measure the similarity of the valley features. The experimental results shows that the proposed approach can effectively discriminate palmprints and can obtain about 98% accuracy in palmprint verification.

SCOPUSTM Citations

Page view(s)

Download(s)

Google ScholarTM

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

The Library actively supports the
University’s mission by providing integrated and timely access to high
quality scholarly resources, an inspiring environment for intellectual
growth and discovery, with responsive and outreaching services...
[read more ]